Laboratoire de Haute Sécurité

Research

frederic.beck@inria.fr (Frederic Beck) — Mon, 05 Feb 2024 00:00:00 +0000

Research

The High Security Laboratory allows researchers and research teams to collect and/or host sensitive data, perform experimentations at a large scale… without ever compromising the confidentiality of the manipulated data.

Historically, the activities mainly focused on two topics: network security and virology.

All experiments carried out on the platform are strictly supervised, and are subject to prior safety approval by an ethics committee.

Network security

Detect and study attacks, improve the security of networks and services
Large scale experimentations
- Internet-wide scans
Attacks data collection and analysis (network telescope)
- Darknet, honeypots
Vulnerabilities assessment (discovery, protection)
- Many different applications (VoIP, IoT, SCADA)

Resist

Resist (Resilience and Elasticity for SecurIty and ScalabiliTy of dynamic networked systems) ambition is to make large-scaled networked systems more secure and scalable, leveraging resource elasticity and system resilience.

Virology

A global approach to fight malware

Platforms

frederic.beck@inria.fr (Frederic Beck) — Mon, 05 Feb 2024 00:00:00 +0000

Experimental platforms

Examples of use cases and on-going experimentations

Datasets

frederic.beck@inria.fr (Frederic Beck) — Mon, 05 Feb 2024 00:00:00 +0000

Available datasets

Bitcoin P2P study

Data gathered from a crawler on the Bitcoin peer-to-peer network

Ethereum P2P study

Data gathered from a crawler on the Ethereum peer-to-peer network

Cloud Gaming study

Cloud gaming traces in different networks and conditions

HTTP/2 traffic Dataset

HTTPS pcap capture of the load of pages requestes with different keywords on different services.

Open HTTPS Dataset

HTTPS raw PCAP files of crawling top 779 accessed HTTPS websites.

Surface Bind

Surfaceome Targetability for Functional Binder Design

Services

frederic.beck@inria.fr (Frederic Beck) — Mon, 05 Feb 2024 00:00:00 +0000

Services and demonstrators platforms

List of public available services and demonstrators.

Live events visualisation

Realtime visualization of events on the Darknet and Honeypots paltforms

IP Reputation service

IP address compromise indicator based on our probes

Dynarepo

MD Posit Inria node, an open platform designed to provide web access to atomistic molecular dynamics (MD) simulations.

Coming soon

MWDB, Malware Database: currently under development in the PEPR CyberSécurité DefMal project, a DB holding malwares metadata and execution and analysis logs.
LHS Data Feed: Data feed of our probes in JSON format for use in CTI
LHS weathercast: Daily summary and statistics of our probes

Publications

frederic.beck@inria.fr (Frederic Beck) — Tue, 30 Jan 2024 00:00:00 +0000

List of publications

You can access all the different publications associated to the platform at this link:

Contact

frederic.beck@inria.fr (Frederic Beck) — Tue, 30 Jan 2024 00:00:00 +0000

Address

Laboratoire de Haute Sécurité

LORIA - Centre Inria de l’Université de Lorraine

Bâtiment Ada Lovelace du Campus Aiguillettes

615 rue du Jardin Botanique

54600 Villers-les-Nancy, France

Contact us

If you want to access to the platform, access some of our datasets, deploy an experiment in the platform, collaborate…

lhs@inria.fr

lhs@loria.fr

If you have difficulties, or any technical related questions, please contact the support team.

Collaborations

frederic.beck@inria.fr (Frederic Beck) — Mon, 05 Feb 2024 00:00:00 +0000

Collaborations and associated platforms

We are not the only cybersecurity related platform, we work together with many different platforms, institutes, enterprises…

I you wanna be one of them, let us know !

LHS Rennes

The High Security Laboratoy @Inria Rennes

NICT

National Institute of Information and Communications Technology

Osaka Prefecture University

Osaka Prefecture University merged with Osaka City University to form Osaka Metropolitan University (OMU) in April 2022.

DFKI

German Research Center for Artificial Intelligence

UIR

International University of Rabat

Privacy

frederic.beck@inria.fr (Frederic Beck) — Mon, 05 Feb 2024 00:00:00 +0000

If for some reason, some of our activities are disturbing you, let us know and we’ll make sure to not do it again in the future.

abuse-lhs@inria.fr

Privacy

RGPD collective information notices for active data collection experiments on the Internet

RGPD collective information notices for passive data collection experiments on the Internet

Piwik

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